NDLI: Fuzzy power management for environmental monitoring systems in tropical regions

Content Provider	IEEE Xplore Digital Library
Author	Watts, A.G. Prauzek, M. Musilek, P. Pelikan, E. Sanchez-Azofeifa, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Earth & Atmos. Sci., Univ. of Alberta, Edmonton, AB, Canada (Sanchez-Azofeifa, A.) \|\| Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada (Watts, A.G.; Prauzek, M.; Musilek, P.) \|\| Inst. of Comput. Sci., Prague, Czech Republic (Pelikan, E.)
Abstract	Remote environmental monitoring systems require effective energy management to allow reliable long-term operation without frequent maintenance to replace or recharge batteries. To design and analyze relevant energy management strategies, we have developed Simulink-based models of a recently constructed monitoring device to evaluate its potential performance. The model uses long-term solar energy data from two locations, Chamela, Mexico, and Fairview, Canada, to estimate the energy harvesting capabilities of the device. Using the simulator, we have developed and evaluated a fuzzy energy management strategy that determines how the device should operate to match the solar energy profile in each location. Solar energy in Chamela, Mexico is abundant and consistent so an energy harvesting remote monitoring device could have a high activity level without risking device failure. Fairview, Canada, has limited solar resources in the winter but plenty in the summer; a device dependent upon this energy source must adapt its activity level to match energy availability or risk running out of energy. While the simulated device in Mexico outperforms the one in Canada, both succeed in matching the available environmental resources and largely avoid energy related device failure. In the future, their performance can be improved by optimizing the designed strategies and further improving the details of the simulation.
Starting Page	1719
Ending Page	1726
File Size	6518747
Page Count	8
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hardware Energy management Monitoring Data models Solar energy Temperature measurement Performance evaluation
Content Type	Text
Resource Type	Article

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